Linear models and regression analysis / Jorge A. Achcar, et al.
Material type: TextPublication details: New York : Magnum Publishing LLC, c2016.Description: xiv, 200 pages : illustrations ; 31 cmISBN:- 9781682501122
- c2016.
Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|
Book | DSSC LEARNING RESOURCE CENTER | Circulation | Cir./512/L645/c2016 (Browse shelf(Opens below)) | Available | 007897 |
Includes index.
Contents: Robust linear regression models: use of a stable distribution for the response data. -- On diagnostics in stochastic restricted linear regression models. -- Sequential variable selection as Bayesian Pragmatism in linear factor models. -- A Bayesian Quantile regression analysis of potential risk factors for violent crimes in USA. -- The validity analysis of regression: combining uniform experiment design with nonlinear regression. -- The correlation and linear regression analysis between annual GDP growth rate and money laundering in Albania during the period 2007-2011*. -- Estimators of linear regression model and prediction under some assumptions violation. -- Robust regression diagnostics of influential observations in linear regression model. -- Cross- validation Shrinkage and variable selection in linear regression revisited. -- Composite Quantile regression for nonparametric model with random censored data. -- Optimal generalized biased estimator in linear regression model. -- Performance of some Stochastic restricted ridge estimator in linear regression model. -- Latent structure linear regression. -- A Gauss- Newton- based Broyden's class algorithm for parameters of regression analysis. -- Adjusted empirical likelihood for varying coefficient partially linear models with censored data. -- Maximum likelihood estimators in linear regression models with Ornstein- Uhlenbeck process. -- The consistency of estimator under fixed design regression model with NQD error. -- Asymptotic properties of wavelet-based estimator in nonparametric regression model with weakly dependent process. -- The use of cognitive ability measures as explanatory variables in regression analysis. -- Berry- Esseen bounds for wavelet estimator in semiparametric regression model with linear process errors.
There are no comments on this title.